Automatically Deriving Information-Theoretic Bounds for Adaptive Side-Channel Attacks

Provided by: ETH Zurich
Topic: Security
Format: PDF
The authors present a model of adaptive attacks which they combine with information-theoretic metrics to quantify the information revealed to an adaptive adversary. This enables the users to express an adversary's remaining uncertainty about a secret as a function of the number of interactions with the system under attack. They present algorithms and approximation methods for computing this function. The main application area for their approach is the analysis of side-channels in cryptographic algorithms and they give examples of how it can be used to characterize the vulnerability of hardware implementations to timing and power attacks.

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